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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

The Definitive Guide to Graph Databases for the RDBMS Developer

Never Write Another JOIN: The RDBMS Developer's Guide to Graph Databases

For the right use case, relational databases are powerful tools. But today’s users are asking for more than an RDBMS can handle. More features, more data, more speed and – most importantly – more connections.

This ebook introduces you – the RDBMS developer – to a new technology that leverages data connections like never before: the graph database.

You'll learn how connected data queries cripple RDBMS performance, as well as the advantages of a graph database in handling highly connected data, such as minutes-to-milliseconds performance, accelerated development cycles, and business responsiveness.

This ebook also shows you how to create a graph data model, with an introduction to the Cypher graph query language that's many lines shorter for data-relationship questions than a typical single query in SQL.

This definitive guide covers:

* RDBMS vs. NoSQL database vs. graph data modeling

* SQL vs. Cypher as query languages

* Relational + graph deployment paradigms

And much more

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